Time since we first saw it
Day 46
Similar jobs usually come down between day 6 and day 54.
At Dowjones, jobs usually come down by about day 29.
From 11,032 similar postings that came down, and 7 of Dowjones’s. Coming down is not always a hire.
Bangalore
Live, first seen by us 46 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Develop, deploy and maintain scalable ETL/ELT pipelines in GCP
Tune BigQuery performance with partitioning, clustering and materialized views
Deploy pipeline code and infrastructure with Terraform and CircleCI
Add logging, alerting and data quality checks to pipelines
Help implement BigLake components for unified data governance
Develop, deploy, and maintain scalable ETL/ELT pipelines in GCP
Implement and utilize BigQuery features like Partitioning, Clustering, and Materialized Views
Utilize Terraform and CircleCI for deploying and managing pipeline code and related infrastructure
Implement robust logging, alerting, and data quality checks within pipelines
Assist in the implementation of BigLake components to ensure structured and unstructured data is accessible with unified governance
Key Responsibilities The Data Engineer will primarily focus on the development, deployment, and operational maintenance of the data pipelines. ● Pipeline Development & Maintenance: Develop, deploy, and maintain scalable ETL/ELT pipelines in GCP using Cloud Composer and PySpark on Dataproc following established architectural patterns. ● Performance Optimization: Implement and utilize BigQuery features like Partitioning, Clustering, and Materialized Views to improve query performance and contribute to GCP cost management. ● Data Integration: Assist in the implementation of BigLake components to ensure structured and unstructured data is accessible with unified governance. ● Code & Infrastructure Deployment: Utilize Terraform and CircleCI for deploying and managing pipeline code and related infrastructure to ensure a modular and reproducible environment. ● Data Operations & Monitoring: Implement robust logging, alerting, and data quality checks within pipelines to actively monitor data flow and ensure data reliability. ● Collaboration: Work with senior engineers and cross-functional teams to understand business requirements and translate them into efficient data solutions. ● Skill Development: Proactively seek out and learn new GCP services and tools to enhance data processing capabilities. Skills & Competencies ● Experience: Mid Level - 2 - 4 years of hands-on Data Engineering experience. ● GCP Proficiency: Solid knowledge of GCP services with a focus on BigQuery, DataForm, Cloud Composer, Cloud Storage, Cloud functions and Dataproc. ● Transformation Tools: Proficiency in Dataform for managing version-controlled SQL workflows and modeling within BigQuery. ● Strong Coding: Excellent Python and SQL skills. You write modular code that is easy to test and maintain. ● Architectural Knowledge: Solid understanding of Data Modeling (Star Schema, Snowflake) and Data Operations. ● Automation Mindset: Experience with CI/CD tools and Infrastructure-as-Code is essential. ● Domain Knowledge: Experience in the News or Media industry is a strong plus. Equal Opportunity Employer
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 46
Similar jobs usually come down between day 6 and day 54.
At Dowjones, jobs usually come down by about day 29.
From 11,032 similar postings that came down, and 7 of Dowjones’s. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Check the employer’s posting for the current role and application details.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job Description :
Key Responsibilities
The Data Engineer will primarily focus on the development, deployment, and operational
maintenance of the data pipelines.
● Pipeline Development & Maintenance: Develop, deploy, and maintain scalable ETL/ELT
pipelines in GCP using Cloud Composer and PySpark on Dataproc following established
architectural patterns.
● Performance Optimization: Implement and utilize BigQuery features like Partitioning,
Clustering, and Materialized Views to improve query performance and contribute to GCP
cost management.
● Data Integration: Assist in the implementation of BigLake components to ensure
structured and unstructured data is accessible with unified governance.
● Code & Infrastructure Deployment: Utilize Terraform and CircleCI for deploying and
managing pipeline code and related infrastructure to ensure a modular and reproducible
environment.
● Data Operations & Monitoring: Implement robust logging, alerting, and data quality
checks within pipelines to actively monitor data flow and ensure data reliability.
● Collaboration: Work with senior engineers and cross-functional teams to understand
business requirements and translate them into efficient data solutions.
● Skill Development: Proactively seek out and learn new GCP services and tools to enhance
data processing capabilities.
Skills & Competencies
● Experience: Mid Level - 2 - 4 years of hands-on Data Engineering experience.
● GCP Proficiency: Solid knowledge of GCP services with a focus on BigQuery, DataForm,
Cloud Composer, Cloud Storage, Cloud functions and Dataproc.
● Transformation Tools: Proficiency in Dataform for managing version-controlled SQL
workflows and modeling within BigQuery.
● Strong Coding: Excellent Python and SQL skills. You write modular code that is easy to
test and maintain.
● Architectural Knowledge: Solid understanding of Data Modeling (Star Schema,
Snowflake) and Data Operations.
● Automation Mindset: Experience with CI/CD tools and Infrastructure-as-Code is essential.
● Domain Knowledge: Experience in the News or Media industry is a strong plus.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic.
Reasonable Accommodation
We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at humanresources@newscorp.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.
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Bangalore
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